Data is quite crucial in today’s world, and with a growing amount of data, it is quite tough to manage it all. A large amount of data is termed as Big Data. Big Data includes all the unstructured and structured data, which needs to be processed and stored. Hadoop is an open-source distributed processing framework, which is the key to step into the Big Data ecosystem, thus has a good scope in the future.

With Hadoop, one can efficiently perform advanced analytics, which does include predictive analytics, data mining, and machine learning applications. Every framework needs a couple of tools to work correctly, and today we are here with some of the hadoop tools, which can make your journey to Big Data quite easy.

Table of Contents

• Top 10 Hadoop Tools You Should Master
• 1) HDFS
• 2) HIVE
• 3) NoSQL
• 4) Mahout
• 5) Avro
• 6) GIS tools
• 7) Flume
• 8) Clouds
• 9) Spark
• 10) MapReduce
• Bonus: 11) Impala
• Conclusion

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